Li‐She Gan

4.0k citations
166 papers · 3.4k · h-index 33

Impact in

  • Pharmacology top 0.5%
    • Microbial Natural Products and Biosynthesis
    • Traditional and Medicinal Uses of Annonaceae

Papers in

    • Microbial Natural Products and Biosynthesis 13
    • Traditional and Medicinal Uses of Annonaceae 23

Li‐She Gan

160 papers receiving 3.3k citations

Peers

Li‐She Gan
Comparison fields: 5 of 121
  • Pharmacology 445
  • Pharmacology 757
  • Biochemistry 332
  • Biotechnology 329
  • Organic Chemistry 821
Replace Zhan‐Lin Li with:
Zhan‐Lin Li China
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Ming‐Jen Cheng Taiwan
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Yuan‐Bin Cheng Taiwan
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Li‐She Gan relative to Zhan‐Lin Li China Zhan‐Lin Li's profile →
Citations per field
00.5×1.6×
Zhan‐Lin Li · 1×
Citations per year

Countries citing papers authored by Li‐She Gan

Since Specialization
Citations

This map shows the geographic impact of Li‐She Gan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li‐She Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐She Gan more than expected).

Fields of papers citing papers by Li‐She Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐She Gan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li‐She Gan. The network helps show where Li‐She Gan may publish in the future.

Co-authors

The 25 scholars most cited alongside Li‐She Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li‐She Gan Line = papers co-authored together Li‐She Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012153
2 2020112
3 2013105
4 201786
5 200985
6 201684
7 202078
8 201571
9 201765
10 201464
11 202063
12 201663
13 200657
14 201457
15 201354
16 200954
17 201750
18 201250
19 201546
20 200845

About Li‐She Gan

Li‐She Gan is a scholar working on Pharmacology, Biochemistry, Molecular Biology, Pharmacology and Plant Science, having authored 166 papers that have together received 3.4k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (53 papers), Phytochemistry and Biological Activities (30 papers), Traditional and Medicinal Uses of Annonaceae (23 papers), Phytochemical compounds biological activities (15 papers), Biological Activity of Diterpenoids and Biflavonoids (14 papers), Microbial Natural Products and Biosynthesis (13 papers), Bioactive Natural Diterpenoids Research (12 papers) and Chemical synthesis and alkaloids (12 papers). The work is most often cited by research in Pharmacology (445 citations), Pharmacology (757 citations), Biochemistry (332 citations), Biotechnology (329 citations) and Organic Chemistry (821 citations). Li‐She Gan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jian‐Min Yue, Chang‐Xin Zhou, Ligen Lin, Jian‐Xia Mo, Jian Ding, Jin‐Biao Xu, Yao‐Yue Fan, Chang‐Yun Wang, Chang‐Lun Shao and Cheng‐Qi Fan. Their work appears in journals such as Journal of Natural Products, Fitoterapia, Helvetica Chimica Acta, Organic Letters and Phytochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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